A new evolutionary optimisation approach to deal with the many-objective phylogenetic inference problem

• Main Authors: Villalobos - Cid, Manuel
• Other Authors: Universidad De Santiago De Chile
• Format: Report
• Language: unknown
• Published: 2023
• Subjects: many-objective optimisation bioinformatics phylogenetic inference; Ciencias De La Informacion Y Bioinformatica; Magallanes; Valparaíso; Bío Bío; General Bernardo O'Higgins; Antártica
• Online Access: https://hdl.handle.net/10533/49297

2 Specific goal 1. Study the performance of the NSGA-II optimising four criteria: minimum evolution, least squares, maximum parsimony and likelihood. TOTAL We modified our previous published MO-MA inference algorithm that optimises parsimony and likelihood to include the minimum evolution and least-...